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Volumn , Issue , 2006, Pages 213-218

Real-time pedestrian detection using LIDAR and convolutional neural networks

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; CONSTRAINT THEORY; NEURAL NETWORKS; OBJECT RECOGNITION;

EID: 34547255397     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (79)

References (23)
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    • Pedestrian detection using stereo vision and tracking
    • Nagoya, Japan, Oct
    • M. Soga, T. Kato, M. Ohta, and Y. Ninomiya, "Pedestrian detection using stereo vision and tracking," in Proc. World Congress on ITS, Nagoya, Japan, Oct. 2004.
    • (2004) Proc. World Congress on ITS
    • Soga, M.1    Kato, T.2    Ohta, M.3    Ninomiya, Y.4
  • 9
    • 33745944016 scopus 로고    scopus 로고
    • Shape and motion-based pedestrian detection in infrared images: A multi sensor approach
    • Los Angeles, USA, June
    • B. Fardi, U. Schuenert, and G. Wanielik, "Shape and motion-based pedestrian detection in infrared images: A multi sensor approach," in Proc. IEEE Intelligent Vehicle Symposium, IV 2005, Los Angeles, USA, June 2005.
    • (2005) Proc. IEEE Intelligent Vehicle Symposium, IV 2005
    • Fardi, B.1    Schuenert, U.2    Wanielik, G.3
  • 11
    • 5044232103 scopus 로고    scopus 로고
    • Learning object detection from a small number of examples: The importance of good features
    • Nice, France, Oct
    • K. Levi and Y. Weiss, "Learning object detection from a small number of examples: the importance of good features," in Proc. International Conference on Computer Vision ICCV 2003, Nice, France, Oct. 2003.
    • (2003) Proc. International Conference on Computer Vision ICCV 2003
    • Levi, K.1    Weiss, Y.2
  • 12
    • 33745934641 scopus 로고    scopus 로고
    • A biological model of object recognition with feature learning,
    • Master's thesis, Massachusetts Institute of Technology, Cambridge
    • J. Louie, "A biological model of object recognition with feature learning," Master's thesis, Massachusetts Institute of Technology, Cambridge, 2003.
    • (2003)
    • Louie, J.1
  • 18
    • 4544259619 scopus 로고    scopus 로고
    • Pedestrian detection for driving assistance systems: Single-frame classification and system level performance
    • Parma, Italy, June
    • A. Shashua, Y. Gdalyahu, and G. Hayun, "Pedestrian detection for driving assistance systems: Single-frame classification and system level performance," in Proc. IEEE Intelligent Vehicle Symposium, IV 2004, Parma, Italy, June 2004.
    • (2004) Proc. IEEE Intelligent Vehicle Symposium, IV 2004
    • Shashua, A.1    Gdalyahu, Y.2    Hayun, G.3
  • 20
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • Nov
    • Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner, "Gradient-based learning applied to document recognition," Proc. IEEE, vol. 86, no. 11, pp. 2278-2324, Nov. 1998.
    • (1998) Proc. IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • Lecun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 23
    • 0031648023 scopus 로고    scopus 로고
    • Example-based learning for view-based human face detection
    • Jan
    • K. Sung and T. Poggio, "Example-based learning for view-based human face detection," PAMI, vol. 20, no. 1, pp, 39-51, Jan. 1998.
    • (1998) PAMI , vol.20 , Issue.1 , pp. 39-51
    • Sung, K.1    Poggio, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.